Known Values
Any known values or given data. These are quantities you don't control.Do
you need any additional data to build the model?
Decision Variables
Quantities you control and can manipulate to optimize your model's
solution. In some cases, decision variable values may be efficiently
optimized by using tools like Excel's Solver.
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The Object
What you're trying to solve, find, show, or optimize: the "bottom line".
Any Constraints
Limits to inputs or outputs, tradeoffs, conditions you must meet. Examples
of constraints are budgetary limitations or limits to available resources.
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Relationships
Relationships Between Variables
Relationships between the known values and decision variables, expressed
in formulas. Not all the relationships may at first be clear, especially
in a complex problem. They may become more clear as you work through
the development of your model.
A Pattern
Whether or not your problem fits into a "family" of problems for which
you might employ a generic model structure. For example, problems dealing
with resource allocation or scheduling have traditional formats you
might want to adopt for your model.
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